Green Coffee ESG Intelligence

Comparative Analysis of Four Coffee Origins Using Open Data

Author

Juan Paulo Pinto Sandoval

Published

February 09, 2026

1 Executive Summary

This report benchmarks four coffee origins (Brazil, Colombia, Peru, Honduras) using open data indicators across:

  • Production (FAOSTAT)
  • Employment in agriculture (% total employment) (World Bank)
  • Rural population growth (%) (World Bank)
  • Gross capital formation (% GDP) (World Bank)

The purpose is to generate a transparent ESG-style sourcing signal.


2 Production

3 Social Indicators

3.1 Employment in agriculture

Figure 2: Employment in agriculture (% of total employment)

3.2 Rural population growth

Figure 3: Rural population growth (annual %)

4 Economic Capacity

4.1 Investment (% GDP)

Figure 4: Gross capital formation (% GDP)

5 ESG Composite Score

5.1 Score table (gt)

Table 1
ESG Composite Score
5-year normalized scoring model
country production_avg employment_agri_avg rural_growth_avg investment_avg esg_score
Brazil 3321375.0 8.691919 -1.4814180 17.29360 0.793
Colombia 715892.1 14.843260 0.1945019 18.21881 0.295
Honduras 364126.2 22.689150 0.5651233 22.98046 0.259
Peru 360096.6 26.113601 -1.5766624 20.29532 0.256

6 Notes & Limitations

  • This model is a benchmarking signal, not an ESG certification.
  • Indicators are macro-level and do not capture farm-level realities.
  • Results depend on data availability and the last 5-year window.

7 Next Steps

  • Add environmental indicators (forest loss, emissions, water stress)
  • Add governance proxies (rule of law, corruption perception)
  • Build a sourcing recommendation layer